像塑 MCP Plus
Unofficial macOS MCP for Douyin AR (像塑): assets, menus, AI combine, delivery. For learning only.
作者による説明(英語の原文)
Canvas LMS (Instructure) for Claude — courses, grades, assignments, planner, files
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
CANVAS_BASE_URL, CANVAS_USERNAME, CANVAS_PASSWORD, CANVAS_TOKEN, CANVAS_CLIENT_ID, CANVAS_CLIENT_SECRET, CANVAS_REFRESH_TOKEN, CANVAS_NAME, CANVAS_SESSION_CACHE, CANVAS_SESSION_FILE, CANVAS_OUTPUT_DIR, CANVAS_DISABLE_FETCHPROXY, FETCHPROXY_WS_PORT, FETCHPROXY_WS_HOST, FETCHPROXY_IDENTITY_DIR「秘密」と表示された値は、あなたのアカウントの鍵です。絶対に人に教えたり、チャットに貼り付けたりしないでください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"mcpServers": {
"canvas-parent": {
"command": "npx",
"args": [
"-y",
"canvas-parent-mcp"
],
"env": {
"CANVAS_BASE_URL": "your-value",
"CANVAS_USERNAME": "your-value",
"CANVAS_PASSWORD": "your-value",
"CANVAS_TOKEN": "your-value",
"CANVAS_CLIENT_ID": "your-value",
"CANVAS_CLIENT_SECRET": "your-value",
"CANVAS_REFRESH_TOKEN": "your-value",
"CANVAS_NAME": "your-value",
"CANVAS_SESSION_CACHE": "your-value",
"CANVAS_SESSION_FILE": "your-value",
"CANVAS_OUTPUT_DIR": "your-value",
"CANVAS_DISABLE_FETCHPROXY": "your-value",
"FETCHPROXY_WS_PORT": "your-value",
"FETCHPROXY_WS_HOST": "your-value",
"FETCHPROXY_IDENTITY_DIR": "your-value"
}
}
}
}ターミナルでこれを実行します
claude mcp add canvas-parent --env CANVAS_BASE_URL=your-value --env CANVAS_USERNAME=your-value --env CANVAS_PASSWORD=your-value --env CANVAS_TOKEN=your-value --env CANVAS_CLIENT_ID=your-value --env CANVAS_CLIENT_SECRET=your-value --env CANVAS_REFRESH_TOKEN=your-value --env CANVAS_NAME=your-value --env CANVAS_SESSION_CACHE=your-value --env CANVAS_SESSION_FILE=your-value --env CANVAS_OUTPUT_DIR=your-value --env CANVAS_DISABLE_FETCHPROXY=your-value --env FETCHPROXY_WS_PORT=your-value --env FETCHPROXY_WS_HOST=your-value --env FETCHPROXY_IDENTITY_DIR=your-value -- npx -y canvas-parent-mcp動かす前に、空欄の値を入力してください。
プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"canvas-parent": {
"command": "npx",
"args": [
"-y",
"canvas-parent-mcp"
],
"env": {
"CANVAS_BASE_URL": "your-value",
"CANVAS_USERNAME": "your-value",
"CANVAS_PASSWORD": "your-value",
"CANVAS_TOKEN": "your-value",
"CANVAS_CLIENT_ID": "your-value",
"CANVAS_CLIENT_SECRET": "your-value",
"CANVAS_REFRESH_TOKEN": "your-value",
"CANVAS_NAME": "your-value",
"CANVAS_SESSION_CACHE": "your-value",
"CANVAS_SESSION_FILE": "your-value",
"CANVAS_OUTPUT_DIR": "your-value",
"CANVAS_DISABLE_FETCHPROXY": "your-value",
"FETCHPROXY_WS_PORT": "your-value",
"FETCHPROXY_WS_HOST": "your-value",
"FETCHPROXY_IDENTITY_DIR": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"canvas-parent": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"canvas-parent-mcp"
],
"env": {
"CANVAS_BASE_URL": "your-value",
"CANVAS_USERNAME": "your-value",
"CANVAS_PASSWORD": "your-value",
"CANVAS_TOKEN": "your-value",
"CANVAS_CLIENT_ID": "your-value",
"CANVAS_CLIENT_SECRET": "your-value",
"CANVAS_REFRESH_TOKEN": "your-value",
"CANVAS_NAME": "your-value",
"CANVAS_SESSION_CACHE": "your-value",
"CANVAS_SESSION_FILE": "your-value",
"CANVAS_OUTPUT_DIR": "your-value",
"CANVAS_DISABLE_FETCHPROXY": "your-value",
"FETCHPROXY_WS_PORT": "your-value",
"FETCHPROXY_WS_HOST": "your-value",
"FETCHPROXY_IDENTITY_DIR": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
CANVAS_USERNAME envCANVAS_CLIENT_ID envCANVAS_NAME envCANVAS_SESSION_CACHE envCANVAS_SESSION_FILE envCANVAS_OUTPUT_DIR envCANVAS_DISABLE_FETCHPROXY envFETCHPROXY_WS_PORT envFETCHPROXY_WS_HOST envFETCHPROXY_IDENTITY_DIR envこの設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月8日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント chrischall で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
入力が必要なもの:CANVAS_BASE_URL, CANVAS_PASSWORD, CANVAS_TOKEN, CANVAS_CLIENT_SECRET, CANVAS_REFRESH_TOKEN
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(2.2.3)がレジストリに届いたのは昨日です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにNode.jsも必要です。
同じカテゴリには:像塑 MCP Plus, Zovo Recipe Card Maker, Zovo Paper Finder
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:↓ 週あたりのダウンロードi★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
Unofficial macOS MCP for Douyin AR (像塑): assets, menus, AI combine, delivery. For learning only.
Make printable recipe cards from your own recipes as a print-ready PDF.
Build a literature list for a student paper, thesis or research project from Crossref.
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
MCP server for Canvas LMS (Instructure), scoped for parent observers and student self-access. Targets https://cms.instructure.com by default but works against any Canvas instance.
Mirrors the read-only parent-portal scope of sibling infinitecampus-mcp. Users interact via the canvas_* tool prefix.
18 tools across profile, observees, courses, assignments, submissions, grades, calendar, planner, announcements, conversations, discussions, and files.
| Domain | Tools |
|---|---|
| Profile | canvas_get_profile |
| Observees | canvas_list_observees |
| Courses | canvas_list_courses, canvas_get_course |
| Assignments | canvas_list_assignments, canvas_list_missing_submissions |
| Submissions | canvas_get_submission, canvas_list_recent_submissions (default 14d window) |
| Grades | canvas_list_enrollments |
| Calendar | canvas_list_calendar_events, canvas_list_upcoming_events |
| Planner | canvas_list_planner_items |
| Announcements | canvas_list_announcements |
| Conversations | canvas_list_conversations, canvas_get_conversation |
| Discussions | canvas_list_discussion_topics |
| Files | canvas_list_course_files, canvas_download_file |
Tools that the harness will gate as write/IO operations: canvas_download_file.
canvas_list_planner_items takes a child by name. At start the server lists your observees once (bounded to 5 s) and publishes their display names as the observeeId enum; the tool accepts either a name (any case) or a Canvas user id (self, a numeric id, or a sis_user_id:-style reference — including a child linked after the server started), and an unknown name is refused with the list of known ones. If the listing fails or you observe nobody, observeeId is published as a plain string and ids pass through as before. Two children with the same display name are listed as Name (id).
view: "brief" returns one line per planner item, at most 120 characters (cut as a whole, title first): title — — . Items with nothing to submit (planner notes, pages, events) carry their kind as the status (planner note, wiki page, …). Titles are written by teachers, so the lines come back inside the untrusted-data envelope, {"untrusted_content":true,"note":"…","data":["…"]}; an empty planner is data: ["-- none"], and a title that itself starts with -- or \ is escaped with one leading \ so it never reads as a note. The default (view: "full") is Canvas's payload, unchanged.
Every tool except canvas_healthcheck carries a _meta.mint hint for hosts that group tools by context (mcp-host's context groups): domain: "school" plus an intent — whats-due for the planner and missing submissions, whats-new for announcements, whats-on for the calendar tools, lookup for the other reads, other for the download. The planner (whats-due) and announcements (whats-new) are marked canonical; the planner also names its subject argument (observeeId) and range (startDate/endDate). Hosts that do not read _meta see nothing different.
canvas_download_file only fetches /files/… URLs on your CANVAS_BASE_URL host (https), so your Canvas credential is never sent anywhere else, and it only writes inside a download directory: CANVAS_OUTPUT_DIR if set, otherwise ~/Downloads. A relative destinationPath is resolved against that directory. It never writes through a symlink at the destination, and new files are created owner-only (0600).
On a hosted deployment (mcp-host) the server's disk is not reachable from your session, so canvas_download_file writes nothing to disk: it reads the file (up to 100 MiB) and returns a signed download link that expires after an hour. An image under 10 MiB is shown inline instead. destinationPath is ignored there. A hosted server without a blob store returns files up to 10 MiB inline and refuses larger ones. On a local install, destinationPath is now optional; leave it out and the file is saved under its own name in the download directory, never overwriting an existing file.
Set CANVAS_BASE_URL plus one of four auth modes. canvas-parent-mcp tries them in priority order:
canvas_session + pseudonym_credentials cookies from your signed-in Canvas tab via the ContextMint Bridge browser extensionIf none succeed, you get an error that names every escape hatch.
CANVAS_BASE_URL=https://cms.instructure.com
Install the ContextMint Bridge browser extension from its releases page (Chrome: download the chrome zip, unzip it, and load it unpacked at chrome://extensions with Developer mode on — there is no Chrome Web Store listing yet; Safari: not available yet — it will ship inside the ContextMint app, which has no public download yet, so use Chrome for now), sign into your Canvas instance, and the MCP reads your session cookies from the browser on the first request and again whenever Canvas answers 401 (the session expired). In between, Canvas API calls go directly from Node — the extension is not in the request hot path, but it must stay reachable (browser running, extension installed) for the MCP to renew the session. Works with any auth flow (SSO/SAML/2FA included) because Canvas itself handled the sign-in.
Where the extension comes from. ContextMint Bridge is the fetchproxy browser extension under its new name, from the same maintainer — fetchproxy's own README (Extension) points to it. Its source is public at nullnet-app/contextmint-bridge: build it yourself (
npm run build, per its README), or check a release zip against the.sha256file published beside it:
`bash
shasum -a 256 -c contextmint-bridge-chrome- .zip.sha256
`
Multiple districts? Declared domain instructure.com matches every *.instructure.com host, so you only pair the extension once. The MCP uses whichever district you set in CANVAS_BASE_URL.
Set CANVAS_DISABLE_FETCHPROXY=1 to opt out (missing creds become a hard error — useful in headless CI).
CANVAS_BASE_URL=https://cms.instructure.com
CANVAS_USERNAME=me@example.com CANVAS_PASSWORD=your-canvas-password CANVAS_NAME=cms # optional, defaults to host portion of base URL
Direct Canvas accounts only — won't work with SAML/Google/Microsoft SSO or 2FA. Brittle (breaks on every Canvas login-page restyling). Prefer fetchproxy if your tab is already signed in. Treat .env like a password file.
Personal access token — simplest if your admin allows it
CANVAS_BASE_URL=https://cms.instructure.com
CANVAS_TOKEN=your-personal-access-token
Generate via Canvas → Account → Settings → "+ New Access Token". Most institutions have disabled this for non-admins.
OAuth via mobile QR code — bootstrapped from the mobile-app login flow
CANVAS_BASE_URL=https://cms.instructure.com
CANVAS_CLIENT_ID=... CANVAS_CLIENT_SECRET=... CANVAS_REFRESH_TOKEN=...
If your account uses SSO and you can't use fetchproxy (e.g. headless server), mint OAuth credentials by reusing the Canvas mobile-app QR-login flow — see Bootstrapping OAuth via the mobile QR code below.
Precedence when multiple are set: CANVAS_TOKEN > username/password > OAuth > fetchproxy.
See .env.example.
In username/password and OAuth modes the signed-in session is cached between runs, so a restart does not log in (or spend a refresh-token exchange) again. The cache file — $MCP_DATA_DIR/.canvas-parent-mcp/session.json by default, or CANVAS_SESSION_FILE — holds the live canvas_session + pseudonym_credentials cookies or the OAuth access token in plaintext. It is created owner-only (0600, in a 0700 directory), and only the credential binding is stored as a salted digest; your username, password and refresh token are never written to it. Token and fetchproxy modes never write the cache.
Backup and sync tools that run as you can still copy that file. On a shared or backed-up machine, set CANVAS_SESSION_CACHE=false to keep the session in memory only (each start then re-authenticates).
If your Canvas admin has disabled personal-access-token creation (some institutions restrict tokens to "the mobile app only") AND your account uses SSO so username/password can't auth, you can mint OAuth credentials by going through the same QR-login flow that the official Canvas mobile apps use:
sso.canvaslms.com like https://sso.canvaslms.com/canvas/login?domain=...&code=.... npx canvas-parent-mcp-qr-login "<decoded-qr-url>" >> .env
It hits Canvas's public mobile_verify.json endpoint to fetch the mobile client_id/client_secret, exchanges the QR's one-time code for an access+refresh token pair, and prints CANVAS_BASE_URL / CANVAS_CLIENT_ID / CANVAS_CLIENT_SECRET / CANVAS_REFRESH_TOKEN to stdout. The refresh token is sensitive — treat it like a password.
This reuses the same SSO + OAuth endpoints the official Canvas Student/Parent apps use; from Canvas's perspective the resulting session looks like a mobile-app session. Use it only against accounts you legitimately control.
canvas_download_file now works on hosted deployments:
destinationPath is optional (it was required). Local calls that pass it behave exactly as before and return the same {path, bytes, contentType}.destinationPath, and every call on a hosted server, return a delivery result instead: {via, fileName, mimeType, url?, expiresAt?, path?, bytes, contentType, note?}. via is image (inline image block), resource (inline bytes), link (signed url valid until expiresAt) or disk (path). An inline image or resource is returned as a content block before that JSON.destinationPath is ignored and the note says so.Unofficial — not affiliated with Instructure. AI-maintained.
By using this MCP server, you acknowledge and agree to the following:
1. This server accesses your own Canvas account via the official Canvas REST API. Auth happens via your own personal access token, issued by your institution. It does not — and cannot — access anyone else's enrollments, grades, or messages.
2. [Instructure's Canvas API Policy](https://www.instructure.com/policies/canvas-api-policy) governs your use of this server, in addition to your institution's own acceptable-use policy. The clauses most relevant her
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